Presentations

A framework for evaluating the maturity level of machine learning explanations

Talk given at JSM 2024

Characterizing climate pathways using echo state networks and feature importance

Talk given at WNAR in Fort Collins, CO

Characterizing climate pathways using echo state networks and feature importance

Talk given for the statistics department seminar at Montana State University.

Characterizing climate pathways using feature importance on echo state networks

Talk given for the annual meeting of the Albuquerque Chapter of the ASA in Santa Fe, New Mexico.

Characterizing climate pathways using feature importance on echo state networks

Talk given at JSM in Toronto, Canada in the topic-contributed session ‘Deep learning for climate change: forecasts, mitigation, and adaption’

Feature Importance with Deep Echo State Models

Talk given at SIAM-GS in Bergen, Norway.

Tracing Trees: Visualizing Random Forest Tree Variability with Trace Plots

Talk given at Sandia National Labs.

WhoseEgg: A Shiny App for Identifying Invasive Carp Using Random Forests and Fish Egg Characteristics

Talk given to the ISU LunchinatoRs.

Tracing Trees: Visualizing Variability in the Architecture of Random Forest Trees Using Extensions of Trace Plots

Talk for ISU Graphics Group.

WhoseEgg: A Shiny App for Identifying Invasive Carp Using Random Forests and Fish Egg Characteristics

Talk for ISU Graphics Group.

Explaining Black Box Machine Learning Models

Talk given to the ACS Data Analytics team at Autodesk.

The Delta Method and Applications to Mark Recapture Models

Talk for Bob Klaver’s ISU Ecology 607 class.

Explaining Neural Networks with Functional Data Using PCA and Feature Importance

Talk for AAAI 2020 Fall Symposium on AI in the Government and Public Sector

A Statistical Consultant’s Perspective on Getting Help with R

Talk given with AES Statistical Consultants (Haoyan Hu, Miranda Tilton, and Yudi Zhang) at ISU LunchinatoRs

Explaining Neural Network Predictions for Functional Data Using Principal Component Analysis and Feature Importance

Talk for ISU graphics group

An Overview of Visualization Techniques for Explainable Machine Learning

Talk for ISU graphics group

Visual Diagnostics of a Model Explainer: Tools for the Assessment of LIME Explanations

Talk given to the statistics department at Sandia National Laboratories

gganimate (with a spooky twist)

Talk for ISU graphics group

ggResidpanel: Easy Creation of Panels of Diagnostics Plots

Presentation for ISU lunchinatoRs

Visual Diagnostics of a Model Explainer: Tools for the Assessment of LIME Explanations from Random Forests

Speed presentation and e-poster for JSM 2019

A Review and Discussion of Residuals for Mixed Models

Talk for NCCC-170 meeting 2019

Using LIME to Interpret a Random Forest Model with an Application to Bullet Matching Data

Poster for Midwest Statistical Machine Learning Colloquium

An Application of LIME to a Random Forest Model

Talk for ISU graphics group

Introducing ggResidpanel: An R Package for Easy Visualization of Residuals

Talk for ISU graphics group with Katie Rey

Introducing ggResidpanel: An R Package for Easy Visualization of Residuals

Poster for Kansas State University Conference on Applied Statistics in Agriculture presented with Katie Rey

Interpreting Predictions from Black Box Models with LIME

Talk for ISU graphics group